|
Soil environmental remediation technology has been an important tool to solve environmental pollution, and the technology mainly focuses on the effective degradation of polycyclic aromatic hydrocarbons (PAHs) organic substances. And this kind of substances will volatilize toxic substances during the whole degradation process, which brings some difficulty to the research of environmental remediation process, but only effective understanding of the degradation process can propose more effective degradation and analysis methods, so an effective research method is needed to complete the real-time monitoring of the whole degradation process. In this paper, we propose a digital twin-based visualization early warning and analysis system, which only needs to collect images of the experimental process to produce a three-dimensional visualization twin platform, on which sensors can be monitored to obtain data, and the data can be analyzed and stored in real time. With this system, effective monitoring and analysis without contact can be achieved, bringing a new effective monitoring and analysis method to environmental remediation technology. The digital twin platform system adopts the RGB threshold limiting function of openCV to identify sub-buildings, save the topology and location information of sub-buildings' 2D pixel coordinate arrays, reorganize them with 1D arrays containing height, and then form a 3D digital twin base map with almost zero cost and real-time change through software, and then embed the sensor locations and transmitted data to finally form a digital twin platform that can display data in real time and monitor and warn in three dimensions. The study of this system continues to improve soil remediation solutions by analyzing the results, giving early warnings by comparing the collected data and thresholds, and also proving that interventions can be made by mapping virtual to real in areas with high levels of pollution.
|
